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AI Services

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Predict.
Automate.

Intelligence at the intersection of security and scale. We build AI systems that detect threats, automate operations, and extract insights your team can't see alone.

Intelligent Systems

Six AI verticals — from custom model development to security-specific ML pipelines that run in production.

01

Custom ML Models

End-to-end machine learning — from data engineering and feature selection to model training, evaluation, and production deployment.

  • Supervised / unsupervised learning
  • Feature engineering & selection
  • Model training & hyperparameter tuning
  • Production deployment & MLOps
02

AI Threat Detection

ML-powered security analytics that detect anomalies, zero-day threats, and advanced persistent threats beyond signature-based limits.

  • Network anomaly detection
  • Behavioral analytics (UEBA)
  • Malware classification via ML
  • Phishing detection with NLP
03

NLP & Text Analytics

Natural language processing for log analysis, threat intelligence extraction, ticket classification, and conversational AI.

  • Log analysis & summarization
  • Threat intel extraction from text
  • Chatbot & virtual assistant
  • Sentiment analysis & classification
04

Computer Vision

Image and video analysis for physical security, document processing, OCR, and visual threat identification.

  • Object detection & recognition
  • Document OCR & processing
  • Surveillance analytics
  • Deepfake detection
05

Intelligent Automation

AI-driven process automation that eliminates repetitive security tasks — triage, enrichment, response orchestration.

  • SOAR playbook automation
  • Automated alert triage
  • Incident enrichment with ML
  • Report generation & summarization
06

Data Engineering & Analytics

Build the data pipelines, warehouses, and dashboards that feed your AI models and drive business intelligence.

  • ETL / ELT pipeline development
  • Data lake & warehouse design
  • Real-time streaming analytics
  • BI dashboards & visualization

AI Use Cases

How our AI solutions create measurable impact across security and operations.

Use Case 01

Zero-Day Threat Detection

ML models trained on network baselines that detect anomalous behavior indicative of zero-day exploits — catching threats that signature-based systems miss entirely.

Use Case 02

Automated SOC Triage

NLP-powered alert classification that reduces SOC analyst triage time by 80% — automatically categorizing, enriching, and prioritizing incoming alerts.

Use Case 03

Insider Threat Detection

Behavioral analytics models that establish user baselines and flag anomalous access patterns, data exfiltration attempts, and privilege escalation.

Use Case 04

Predictive Vulnerability Management

ML models that predict which vulnerabilities are most likely to be exploited in your environment — enabling risk-based prioritization over CVSS alone.

Our AI Arsenal

Frameworks, platforms, and tools we use to build production-grade AI systems.

Python
TensorFlow
PyTorch
Scikit-learn
LangChain
OpenAI
Hugging Face
Apache Spark
Kafka
MLflow
FastAPI
Docker
Harness Intelligence

Ready to Deploy
AI at Scale?

Whether it's threat detection, process automation, or custom ML — we'll build intelligence that runs in production, not just in notebooks.

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